We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.
- Authors
Moon, Sungrim; Pakhomov, Serguei; Liu, Nathan; Ryan, James O.; Melton, Genevieve B.
- Abstract
Objective To create a sense inventory of abbreviations and acronyms from clinical texts. Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated clinical notes were used to create a clinical sense inventory. Senses of each abbreviation and acronym were manually annotated from 500 random instances and lexically matched with long forms within the Unified Medical Language System (UMLS V.2011AB), Another Database of Abbreviations in Medline (ADAM), and Stedman's Dictionary, Medical Abbreviations, Acronyms & Symbols, 4th edition (Stedman's). Redundant long forms were merged after they were lexically normalized using Lexical Variant Generation (LVG). Results The clinical sense inventory was found to have skewed sense distributions, practice-specific senses, and incorrect uses. Of 440 abbreviations and acronyms analyzed in this study, 949 long forms were identified in clinical notes. This set was mapped to 17 359, 5233, and 4879 long forms in UMLS, ADAM, and Stedman's, respectively. After merging long forms, only 2.3% matched across all medical resources. The UMLS, ADAM, and Stedman's covered 5.7%, 8.4%, and 11% of the merged clinical long forms, respectively. The sense inventory of clinical abbreviations and acronyms and anonymized datasets generated from this study are available for public use at http:/ /www.bmhi.umn.edu/ihi/ research/nlpie/resources/index.htm ('Sense Inventories', website). Conclusions Clinical sense inventories of abbreviations and acronyms created using clinical notes and medical dictionary resources demonstrate challenges with term coverage and resource integration. Further work is needed to help with standardizing abbreviations and acronyms in clinical care and biomedicine to facilitate automated processes such as text-mining and information extraction.
- Subjects
MEDICAL terminology; ABBREVIATIONS; ACRONYMS; MEDICAL databases; LEXICON; MEDICAL informatics; JARGON (Terminology)
- Publication
Journal of the American Medical Informatics Association, 2014, Vol 21, Issue 2, p299
- ISSN
1067-5027
- Publication type
Article
- DOI
10.1136/amiajnl-2012-001506